Toward a Computational Simulation of Circulating Tumor Cell Transport in Vascular Geometries
Event Type
Registration Categories
Deep Learning
TimeSunday, November 11th4pm - 4:15pm
DescriptionComputational models can provide much needed insight into the mechanisms driving cancer cell trajectory. However, capabilities must be expanded to enable simulations in larger sections of micro- and meso-vasculature and account for the more complex fluid dynamic patterns that occur in patient-derived vascular geometries. The increased size and complexity of these simulations demands, in turn, the development of highly flexible and scalable computational frameworks. In this work, we extend the massively parallel hemodynamics solver HARVEY to perform the necessary fluid-structure interaction for CTC transport in high-resolution blood flow. We couple lattice Boltzmann and finite element methods, for the fluid and cells, respectively, with the immersed boundary method for the fluid-structure interaction. Parallelized with MPI, HARVEY is designed to handle the sparse and tortuous blood vessels encountered in patient-derived vascular geometries while maintaining computational efficiency. HARVEY can be scaled to simulate vasculature geometries containing hundreds of millions of blood cells, equivalent to blood volumes on the order of tens of milliliters. In sum, the resulting framework has the potential to significantly improve the model fidelity of CTC simulations with respect to both the complexity and size of vascular geometries being considered.
Back To Top Button